1. What contributions have the authors mentioned in the paper "Estimating programming exercise difficulty using performance factors analysis" ?
This Work in Progress Paper studies student and exercise modelling based on pass/fail log data gathered from an introductory programming course.. In the present study, the authors attempt to create student-exercises models solely on pass/fail log data by using statistical techniques.. The authors conclude that such data is insufficient for student modelling, but that it can be used to credibly estimate the difficulty of programming ex-
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2. What have the authors stated for future works in "Estimating programming exercise difficulty using performance factors analysis" ?
The obtained model was also used to re-arrange the exercises in to providing for smoother student experience in future instances of the course.. However, the modelling approach allows incorporating more information in the future and possibility of obtaining a predictive student model as well.
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![Figure 1: The estimated exercise difficulties (βj) for each exercise (j) scaled to range [0,1] along with the average number of trials before success. The exercises appear in the same order as they were presented to the students during the course and the shaded boxes indicate the credit level of the exercises. The missing values on Func1 indicate exercises that were added between the two courses. The exercise that was removed between the courses is not displayed. The the stripes indicate a broken assessment program.](/figures/figure-1-the-estimated-exercise-difficulties-bj-for-each-3efp7bop.webp)